Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning

We present a decentralized reinforcement learning (RL) approach to address the multi-agent shepherding control problem, departing from the conventional assumption of cohesive target groups. Our two-layer control architecture consists of a low-level controller that guides each herder to contain a spe...

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Hauptverfasser:	Napolitano, Italo, Lama, Andrea, De Lellis, Francesco, di Bernardo, Mario
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Systems and Control
Online-Zugang:	Volltext bestellen
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